:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Joo, Joonhwi
Format:	Preprint
Published:	2025
Subjects:	Econometrics Statistics Theory Methodology
Online Access:	https://arxiv.org/abs/2509.03796
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)

The Role of Contextual Information in Best Arm Identification
by: Kato, Masahiro, et al.
Published: (2021)

Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification
by: Kato, Masahiro
Published: (2024)

Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
by: Kato, Masahiro
Published: (2023)

Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
by: Kato, Masahiro
Published: (2023)

Reinforcing RCTs with Multiple Priors while Learning about External Validity
by: Finan, Frederico, et al.
Published: (2021)

Compound Selection Decisions: An Almost SURE Approach
by: Chen, Jiafeng, et al.
Published: (2025)

Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2024)

Regression Model Selection Under General Conditions
by: Lusompa, Amaze
Published: (2025)

Sequential Scoring Rule Evaluation for Forecast Method Selection
by: Frazier, David T., et al.
Published: (2025)

Minimax-Regret Sample Selection in Randomized Experiments
by: Hu, Yuchen, et al.
Published: (2024)

Testing Monotonicity in a Finite Population
by: Chen, Jiafeng, et al.
Published: (2025)

Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
by: Kato, Masahiro
Published: (2025)

Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)

Optimal Decision Rules Under Partial Identification
by: Yata, Kohei
Published: (2021)

A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)

Integrating Heterogeneous Information in Randomized Experiments: A Unified Calibration Framework
by: Ma, Wei, et al.
Published: (2026)

Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
by: Chen, Xingyu, et al.
Published: (2024)

Beyond the Oracle Property: Adaptive LASSO in Cointegrating Regressions with Local-to-Unity Regressors
by: Reichold, Karsten, et al.
Published: (2025)

Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)

A Test for Jumps in Metric-Space Conditional Means
by: Van Dijcke, David
Published: (2025)

Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)

Modewise Additive Factor Model for Matrix Time Series
by: Chen, Elynn, et al.
Published: (2025)

Bias correction for Chatterjee's graph-based correlation coefficient
by: Azadkia, Mona, et al.
Published: (2025)

A Note on the Finite Sample Bias in Time Series Cross-Validation
by: Lusompa, Amaze
Published: (2025)

Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
by: Epanomeritakis, Aristotelis, et al.
Published: (2025)

Evaluating Policy Effects under Network Interference without Network Information: A Transfer Learning Approach
by: Hoshino, Tadao
Published: (2025)

Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$
by: Gu, Yujia, et al.
Published: (2025)

Comparing latent inequality with ordinal data
by: Kaplan, David M., et al.
Published: (2025)

On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)

Joint Quantile Shrinkage: A State-Space Approach toward Non-Crossing Bayesian Quantile Models
by: Kohns, David, et al.
Published: (2025)

Nonparametric Identification of Demand without Exogenous Product Characteristics
by: Borusyak, Kirill, et al.
Published: (2025)

On (in)consistency of M-estimators under contamination
by: Klooster, Jens, et al.
Published: (2025)

How Much Weak Overlap Can Doubly Robust T-Statistics Handle?
by: Dorn, Jacob
Published: (2025)

Honest Inference for Stochastic Optimization
by: Takatsu, Kenta, et al.
Published: (2025)

Nonparametric Uniform Inference in Binary Classification and Policy Values
by: Liu, Nan, et al.
Published: (2025)

Partial Identification of Causal Effects for Endogenous Continuous Treatments
by: Dalal, Abhinandan, et al.
Published: (2025)

Bayesian Model Averaging in Causal Instrumental Variable Models
by: Steiner, Gregor, et al.
Published: (2025)

Estimation of High-dimensional Nonlinear Vector Autoregressive Models
by: Han, Yuefeng, et al.
Published: (2025)

Optimal estimation for regression discontinuity design with binary outcomes
by: Ishihara, Takuya, et al.
Published: (2025)